AVP Customer Remediation Analytics

Role Summary/Purpose:

The AVP, Remediation Analytics Lead reports to the VP, Remediation Analytics Leader. This role is responsible for providing technical expertise and thought leadership to an analytical team of SAS programmers, technical experts, and data analysts that provide complicated data extraction from the data warehouses and use this data to conduct SAS coding analysis to mitigate risks as a part of customer remediation and issue resolution efforts.

Essential Responsibilities:

• Conducts data analysis/SAS coding for remediations.

• Provides thought leadership on analytics best practices and procedures.

• Mentor and provide support to Remediation Analysts on data warehouse structures, data analysis tools and coding solutions.

• Provides analysis and guidance to improve remediation analytics processes.

• Provides leadership, analysis and support for Remediation team initiatives.

• Provides analysis and support for remediation project sizing and volume estimations.

• Partners with VP, Remediation Analytics Lead on efforts to improve availability and accessibility of data, as well as focusing on ways to improve efficiency and provide better transparency into multiple data warehouses, mainframes, and portfolios.

• Process data expert provides this expertise to other Analytics team members via learning sessions, as well as documentation of best practices and data warehouse tribal knowledge.

• Creates templates and job aids to improve consistency and completeness of remediation analytics.

Other responsibilities as needed.

Required Skills/Knowledge:

• Masters in Mathematics/Statistics, Operations Research, Economics, Computer Science, MBA/MCA/Engineering or other quantitative majors, or equivalent experience beyond Bachelors degree.

• 8+ years of experience in Analytics, preferably related to Collections, or Operations.

• 5+ years experience in coding with SAS, SQL, Visual Basic, Business Objects, or other Business Intelligence query tools.

• Solid working knowledge of Unix, Excel.

• Strong written/oral communication skills.

Should not be on a performance improvement plan and formal corrective or above.

Desired Characteristics:

• Excellent relationship building skills.

• Experience in working with large volumes of data from multiple data sources.

• Proven ability to direct employees across multiple locations, including offshore teams.

• Strong written communication and presentation skills.

• Experience with Vision Plus, FDR, RMSNG.

• Collections experience within a Credit Card environment.

• Ability to make decisions based on quantitative analysis and creative thinking.

• Proficient with Microsoft Excel, Visio, & PowerPoint.

Ability to handle sensitive issues with uncompromising integrity and confidentiality